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Workload-Specific Database Design →hardMultiple ChoiceObjective-mapped

DBS-C01 Workload-Specific Database Design Practice Question

This DBS-C01 practice question tests your understanding of workload-specific database design. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A company runs a critical Oracle database on Amazon RDS. The database has a large table that is frequently accessed by multiple applications. The team wants to implement caching to reduce the load on the database. The cached data must be strongly consistent with the database. Which caching strategy should they use?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Write-through cache using Amazon ElastiCache

The write-through cache strategy ensures that every write to the database also updates the cache synchronously, so the cached data is always strongly consistent with the database. This is critical for the Oracle RDS workload where multiple applications require immediate consistency. Amazon ElastiCache (Redis or Memcached) supports write-through by updating the cache on every write operation, preventing stale reads.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    Eventual consistency with DynamoDB Accelerator (DAX)

    Why it's wrong here

    DAX is for DynamoDB, not Oracle RDS.

  • ✗

    Read-only cache with Amazon ElastiCache

    Why it's wrong here

    Read-only cache does not address write load consistency.

  • ✓

    Write-through cache using Amazon ElastiCache

    Why this is correct

    Write-through ensures data is written to cache and DB together, maintaining strong consistency.

    Related concept

    Read the scenario before looking for a memorised answer.

  • ✗

    Lazy loading with cache-aside pattern

    Why it's wrong here

    Lazy loading may serve stale data until the cache is updated.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse 'read-only cache' or 'lazy loading' with strong consistency, not realizing that only write-through synchronously updates the cache on every write, making it the only option that guarantees the cached data is always identical to the database.

Detailed technical explanation

How to think about this question

In a write-through cache, the application writes data to both the cache and the database in the same transaction, typically using a distributed locking mechanism or atomic operations to avoid race conditions. For Amazon ElastiCache with Redis, this can be implemented using Redis transactions (MULTI/EXEC) or Lua scripting to ensure atomicity. In real-world scenarios, this pattern is ideal for high-read, high-write workloads like financial systems where stale data could cause incorrect decisions.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this DBS-C01 question test?

Workload-Specific Database Design — This question tests Workload-Specific Database Design — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Write-through cache using Amazon ElastiCache — The write-through cache strategy ensures that every write to the database also updates the cache synchronously, so the cached data is always strongly consistent with the database. This is critical for the Oracle RDS workload where multiple applications require immediate consistency. Amazon ElastiCache (Redis or Memcached) supports write-through by updating the cache on every write operation, preventing stale reads.

What should I do if I get this DBS-C01 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jul 4, 2026

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This DBS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DBS-C01 exam.